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  2. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    In such a way, multi-document summarization systems are complementing the news aggregators performing the next step down the road of coping with information overload. Multi-document summarization may also be done in response to a question. [20] [11] Multi-document summarization creates information reports that are both concise and comprehensive.

  3. Document clustering - Wikipedia

    en.wikipedia.org/wiki/Document_clustering

    For document clustering, one of the most common ways to generate features for a document is to calculate the term frequencies of all its tokens. Although not perfect, these frequencies can usually provide some clues about the topic of the document. And sometimes it is also useful to weight the term frequencies by the inverse document frequencies.

  4. Microsoft Ignite - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Ignite

    Keynote at TechEd Europe 2007. Microsoft Ignite is an annual conference for developers, IT professionals and partners, hosted by Microsoft.The first conference, then known as TechEd, happened in 1993 in Orlando, Florida, United States.

  5. Microsoft Azure - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Azure

    Microsoft Azure, or just Azure (/ˈæʒər, ˈeɪʒər/ AZH-ər, AY-zhər, UK also /ˈæzjʊər, ˈeɪzjʊər/ AZ-ure, AY-zure), [5] [6] [7] is the cloud computing platform developed by Microsoft. It has management, access and development of applications and services to individuals, companies, and governments through its global infrastructure.

  6. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets. [1] High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to ...

  7. Sentiment analysis - Wikipedia

    en.wikipedia.org/wiki/Sentiment_analysis

    A basic task in sentiment analysis is classifying the polarity of a given text at the document, sentence, or feature/aspect level—whether the expressed opinion in a document, a sentence or an entity feature/aspect is positive, negative, or neutral. Advanced, "beyond polarity" sentiment classification looks, for instance, at emotional states ...

  8. Certification - Wikipedia

    en.wikipedia.org/wiki/Certification

    Licensure and certification are similar in that they both require the demonstration of a certain level of knowledge or ability. Another common type of certification in modern society is product certification. This refers to processes intended to determine if a product meets minimum standards, similar to quality assurance. Different ...

  9. Latent semantic analysis - Wikipedia

    en.wikipedia.org/wiki/Latent_semantic_analysis

    Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms.

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